Data communication assistance via swarm robotic: a behaviour creation comparison

Phillip Smith, Asad Khan, Aldeida Aleti, Vincent C.S. Lee, Robert Hunjet

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Abstract

This paper compares two behaviour creation algorithms for Unmanned Aerial Vehicle swarms. The objective of this work is to have a self-organising robotic swarm which unintrusively assists humans in network restricted environments by facilitating data-transfer between disconnected groups. The behaviour creation algorithms explored are a well-cited approach for evolving neural networks (ENN) and our Learning Classifier System (LCS) approach. We utilise simulations in randomised, obstacle dense landscapes to validate, compare and contrast these two algorithms. We explore the algorithms both with and without the environment layout being known to the swarm a priori. These simulations show the ENN algorithm struggles to create appropriate behaviours for this complex data-transfer task, resulting in an unassertive swarm. Our LCS behaviours have the swarm operate with up to 61% of the fitness range above ENN in both expected and unexpected environments, resulting in the desired human assistance.

Original languageEnglish
Title of host publicationArtificial Intelligence - IJCAI 2019 International Workshops
Subtitle of host publicationMacao, China, August 10–12, 2019 Revised Selected Best Papers
EditorsAmal El Fallah Seghrouchni, David Sarne
Place of PublicationCham Switzerland
PublisherSpringer
Pages111-126
Number of pages16
ISBN (Electronic)9783030561505
ISBN (Print)9783030561499
DOIs
Publication statusPublished - 2020
EventInternational Joint Conference on Artificial Intelligence Workshops 2019 - Macao, China
Duration: 10 Aug 201912 Aug 2019
https://link.springer.com/book/10.1007/978-3-030-56150-5 (Proceedings)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12158
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Joint Conference on Artificial Intelligence Workshops 2019
Abbreviated titleIJCAI Workshops 2019
CountryChina
CityMacao
Period10/08/1912/08/19
Internet address

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